Research Associate

• On-Campus Work

• Corvallis (Main Campus)

• Full time

• Posted 6 Days Ago

• JR0001406

• End Date: October 9, 2026

Department:

College of Engineering

Special Instructions to Applicants:

When applying you will be required to attach the following electronic documents:

1. A resume/CV; and

2. A cover letter indicating how your qualifications and experience have prepared you for this position.

3. A Statement of Research

For additional information please contact:

Alireza Aghasi

View email address on click.appcast.io

Job Summary:

The College of Engineering invites applications for a full-time (1.00 FTE), 12-month, fixed-term Research Associate position. Reappointment is at the discretion of the Department Head .

The Research Associate will contribute to a research project focused on developing mathematical and computational methods for memory-efficient implementation of large language models and foundation models. Responsibilities include theoretical analysis, algorithm development, computational experimentation, software implementation, and preparation of technical reports and publications.

The College of Engineering (COE) is committed to building a community of faculty, students, and staff that is increasingly inclusive, collaborative, diverse, and centered on student success.

Key Responsibilities:

• Implement software prototypes

• Prepare technical reports

• Conduct computational experiments

• Maintain reproducible code and documentation

• Analyze Research Results

• Participate in project meetings

• Milestone Planning

Qualifications:

Required Qualifications:

• PhD in Computer Science, Electrical Engineering, Mathematics, Applied Mathematics, Statistics, or a related field.

• Strong background in machine learning, optimization, applied mathematics, or related theoretical areas.

• Experience with scientific programming and computational research.

• Strong written and verbal communication skills.

• Experience working effectively with diverse groups of researchers and students

Preferred Qualifications:

• Research experience in machine learning theory, optimization, random matrix theory, complexity theory, high-dimensional probability, or related areas.

• Experience with large language models, deep learning, or efficient AI methods.

• Experience developing rigorous theoretical guarantees and conducting large-scale computational experiments.

• Experience with GPU computing and modern ML software frameworks.

• Publication record in machine learning, optimization, applied mathematics, or theoretical computer science.

Working Conditions/Schedule:

Work is performed in an office or computer laboratory environment.

Salary Range:

Salary is commensurate with skills, education, and experience.

Anticipated Start Date:

2026-10-30

Anticipated End Date:

2027-06-30

When applying, please keep in mind this posting will close at 11:59 pm the night before the posted "end date". Applications MUST be submitted prior to this deadline.

We are an Equal Opportunity Employer, including disability, protected veteran, and other protected status.

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OSU is a fair chance employer committed to inclusive hiring. We encourage applications from candidates who bring a wide range of lived experience including involvement with the justice system. If this position has “critical or security-sensitive” responsibilities and/or driving duties and you are selected as a finalist, your initial job offer will be contingent upon the results of a job-related pre-employment check (such as a background check, motor vehicle history check, sexual misconduct reference check, etc.). Background check results do not automatically disqualify a candidate. Take a look at our Background Checks ( website including the for candidates ( section for more details. If you have questions or concerns about the pre-employment check, please contact OSU’s Employee and Labor Relations team at View email address on click.appcast.io .